Search results

In today’s economic conditions, businesses face great challenges related to competitiveness. The effort to respond flexibly to the changing business environment and customers’ demands constantly puts pressure on innovation. For this reason, research purpose to examine the effects of learning capabilities and market orientation in logistics companies during the pandemic.

In this research, a quantitative method was adopted and partial least squares structural equation modeling (PLS-SEM) was applied. The research is based on four variables. A conceptual research model was established through literature review and the model was tested. Within the scope of this research, A sample of 544 participants was taken to construct and test the model, and a 39-statement scale was presented to them. After presenting the reliability and validity values on the model, hypotheses were tested. Analyses were conducted using Smart-PLS 3.3 software.

As a result of the research conducted in logistics companies, the positive effects of learning orientation on performance outputs and the positive effects of market orientation as both a mediator and an independent variable show that these concepts are important for company management.

Considering the limitations of the research, it would be wrong to generalize the results of the analysis for different sectors because the data were collected from experts working in logistics companies. Therefore, it is necessary to make evaluations taking into account the limitations of the research. In future studies, it is recommended to make comparisons with research in different sectors, taking into account the limitations, and to enrich the literature with more research in this area.

Because of the importance of logistics activities seen in all countries with the pandemic period, it can be explained as a result of the analyses that the performance outputs are positively affected by the learning orientation, the companies’ adaptation to continuous change and development and their emphasis on market orientation at the same time.

The research is an original study as it analyzes the effects of learning orientations of logistics companies on the problems and opportunities experienced in the supply and distribution channel along with the pandemic process.

The purpose of this study is to examine the importance of big data analytics capability (BDAC), knowledge management (KM), corporate sustainability strategy (CSS) and sustainability design (SD) variables that affect the innovation performance (IP) of companies in the information technology (IT) sector. Taking these variables into consideration, the authors aim to highlight the key factors necessary for the sustainability and success of companies in the IT sector.

As a result of this research, a model was developed and a quantitative analysis technique was adopted. By applying PLS- structural equation modeling, the data were analyzed in the SmartPLS 4.0 program and focused on the population of companies in the IT sector. Middle and senior managers working in these companies were reached. The main reason for choosing this sector is that the variables in the research model are very important in the IT sector.

The analysis results are supported by the hypotheses that BDAC, information management, CSS and SD have positive effects on the IP of companies in the IT sector.

In terms of research limitations, data was collected by survey method from companies operating in the IT sector in Istanbul, ensuring that participation was voluntary. Because Istanbul is the most developed city in Turkey, and hence where IT companies are located, the sample population consists of companies in this city. It is recommended that future research should develop the research model, taking this limited situation into account and contributing to the literature by collecting data from companies in different sectors by using the comparison method.

To benefit from the potential of big data, it can be predicted that companies in the IT sector should strengthen their infrastructure, increase their performance by better managing their knowledge and experience, realize innovations by achieving sustainability goals and create an environmentally friendly image by increasing the sustainability of their products/services and thus become a company that gains an innovative competitive advantage. Considering these variables collectively can help companies in the IT sector to be more efficient and sustainable.

Because the studies in the literature do not have sufficient empirical findings in examining the relationships between variables, companies are offered a limited perspective on how they should approach big data initiatives. Therefore, in addition to research conducted in different sectors and different types of companies, examining the impact of BDAC as independent variables and sustainability and KM as mediator variables in companies in the IT sector will contribute to the theory.

There are many studies examining the relationship between BDAC and information management. However, examining the mediation variable effect of sustainability, which is one of the three goals of businesses, together with these variables, is important in terms of contributing to the literature. Because we are in the age of digitalization, companies are now renewing and developing strategies for the future. We can see data science, innovation, information and sustainability as the most important concepts of these strategies. Therefore, this study uses original research that can be referenced for both academics and companies.

The purpose of the research is to examine the effects of technology orientation (TO) on information technology companies, not as a dimension of strategic orientation (SO), but as an independent variable and together with technology innovation strategy (TIS).

In the research, technoparks operating in the province of Istanbul were determined as the main population. The questionnaire used was applied to the participants working in senior and middle management positions in the companies in these technoparks. Questionnaires were sent via e-mail to the participants (by random sampling method) after obtaining the necessary permissions. In total, the data of 665 participants were included in the analysis. SmartPLS program was used for analysis.

As a result of the analysis, it is supported by hypotheses that TO, TIS and SO have positive effects on performance variables.

However, when looking at the situation that researchers should consider in terms of the limitations of the research, the data were collected only from information technology companies located in technoparks in Istanbul. Therefore, it may not be correct to make a general judgment.

Because future technology investments among information technology companies are important, it can be argued according to the results of the analysis that TO and technology innovation strategies are important in terms of gaining competitive advantage. At the same time, it is supported by hypotheses that SO is important to be successful in the field of technology against competitors.

The research emphasizes how companies that are proactive in adopting and integrating new technologies can achieve superior performance results. A detailed perspective is presented on how companies can benefit from SO to maximize the return they receive from their technological investments. Additionally, focusing on technoparks as unique environments that facilitate the integration of industrial and technological resources, the research emphasizes the importance of such ecosystems in promoting innovation and economic development.

The research is important research that will contribute to the literature in terms of collecting and examining data from information technology companies in technoparks and examining the effects of TO and TIS of information technology companies in technoparks.

The research purpose is to investigate the impact of green entrepreneurial orientation (GEO) on operational performance (OP) in renewable energy companies, with a particular focus on the mediating roles of green innovation strategy (GIS) and green innovation culture (GIC).

Data were collected through interactive surveys with 338 middle and senior managers of renewable energy companies prioritizing sustainability. The relationships between variables were analyzed using SmartPLS and Jamovi software, which facilitates structural equation modeling.

The analysis revealed that GEO had a significant positive impact on both GIS and GIC, followed by OP. It is supported by the hypotheses that mediating variables GIS and GIC positively influence OP, and their important role in transforming entrepreneurial efforts into operational success is confirmed.

The research is limited to renewable energy companies and findings may not be generalizable to other sectors. Future research could expand the scope to include different industries and geographic contexts. Additionally, dimensional research studies can provide deeper insights into the long-term effects of GEO, GIS and GIC on OP.

The findings suggest that renewable energy companies should encourage a strong entrepreneurial orientation towards green practices. Emphasizing innovation strategies and developing a green culture within organizations can lead to improved OP, supporting overall sustainability goals.

The research provides a comprehensive framework for understanding the drivers of OP in the renewable energy sector, providing a new perspective by combining GEO with innovation strategies and cultural elements. The originality of the research lies in the application of these concepts to an industry where sustainability is very important.

The research examines the impact of creativity-oriented human resources management (HRM) and quality management (QM) on firm performance, social sustainability and environmental performance, focusing on the mediating role of commercialization.

Data were collected from 527 experts based in Istanbul with at least 5 years of experience in the information technologies (IT) sector. The sample includes a demographic distribution according to age ranges and educational qualifications. Using a survey containing 47 scales, confirmatory factor analysis (CFA) and structural equation modeling (SEM) analyzes were conducted through Jamovi 2.3.28.

The results show that both creativity-oriented HRM and QM positively affect commercialization. In addition, commercialization positively affects firm performance, social sustainability and environmental performance, thus establishing a mediating role in the relationship between management practices and performance results.

The research is limited to the IT sector in Istanbul, Turkey, and may not be generalizable to other regions or sectors. Future research may expand geographic and sectoral coverage to confirm and extend these findings.

Companies can leverage creative HRM and QM strategies not only to increase commercialization efforts but also to achieve superior firm performance, social sustainability and environmental outcomes. This highlights the strategic role of HR and quality initiatives in driving overall business success.

In the research, it is stated that creativity-oriented HR is important to promote human capital as an important driver of performance improvement, supported by the resource-based view (RBV) theory. Also, by supporting the dynamic capabilities theory, by promoting quality and creativity, innovations can be better commercialized and both performance outcomes and sustainability results can be positively affected.

This research provides new insights into the mediating effects of commercialization between internal management practices and broad performance measures in the IT sector. It underlines the importance of promoting innovative HR and quality practices to achieve sustainable business performance.

In order to make a difference in a globally competitive environment, companies should analyze their competitors, which is one of the factors around them, well, do research, observe the environment and know how to adapt. For this purpose, the research examines the effects of competitive intensity and marketing and sales capabilities, together with the global capabilities of logistics companies operating internationally (third-party logistics companies (3PL)), which are examined.

To establish and test the model, a sample of 504 participants working at senior levels in internationally operating logistics companies (third-party logistics companies (3PL)) with their headquarters in Istanbul was taken and a scale consisting of a total of 32 statements was presented to them. Analyses were performed using Jamovi and SmartPLS 3.3.5. This program was used because, in addition to estimating path models with latent variables, it also calculated standard results evaluation criteria. First, the results of factor analysis are given. After these analyses were completed, the hypotheses were tested.

This research is supported by hypotheses as a result of the analysis that global capabilities are an important factor for logistics companies at the international level, and that the competitive intensity also affects the performance outputs and that marketing and sales capabilities also have an impact.

Since data are collected from logistics companies operating globally, it is necessary to pay attention when the analysis results are compared with different sectors. Because the intensity of competition may vary depending on the sector and market in which companies operate. At the same time, the data were collected from authorized white-collar employees working at a senior level in logistics companies. Because, in terms of the level of being able to answer the questions about the variables examined in the research model, data were collected from high-level officials.

It is getting harder and harder to compete on a global scale by going beyond national borders. The results of the analysis show how important the global capabilities of logistics companies are, especially the increasing importance of logistics activities for countries. For this reason, logistics companies operating on an international scale need to attach importance to the competitive intensity and develop their marketing and sales capabilities.

The research is original in that it examines the global capabilities of logistics companies in their international activities and the effects of competition intensity. In addition, it is important for companies in this sector to examine the effects of marketing and sales capabilities so that logistics companies can reach more customers in their international activities and be more effective in the market compared to their competitors.

The purpose of the study is to examine the effects of innovative working behavior and leader support of employees in marketing and advertising companies, one of the sectors where creative ideas and innovative thoughts are common.

Within the scope of the research, a questionnaire was applied to 443 authorized employees working in marketing and advertising companies headquartered in Istanbul in order to examine innovative work behavior and leader support. The collected data were analyzed using the SmartPLS 3.3.9 package program.

As a result of the analysis of the collected data, it is supported by hypotheses that innovative work behavior and leadership support have positive effects on employees.

It is not possible to make generalizations because a questionnaire was administered to 443 authorized employees working in marketing and advertising companies whose research centers are located in Istanbul. However, it should be taken into account as a source to provide a basic idea for future research.

As a result of the analysis of the data collected from the marketing and advertising sectors, where creativity and innovation are common, it can be explained that innovative work behavior has positive effects, and that the positive effects continue with the effect of leader support on innovative work behaviors.

The research is original since it is carried out in marketing and advertising companies where traditional activities are not accepted, constantly innovative ideas and thoughts are stated and innovative behavior of employees is important in terms of raising awareness.

The purpose of this study is to understand how the level of readiness for artificial intelligence (AI) affects the overall performance of companies, determine the role of organizational flexibility in adapting to new technologies and business models and assess the importance of lean sustainability and value creation for technology-focused companies.

Technology companies working in technoparks in Istanbul were determined, and a questionnaire was applied to senior employees such as experts, engineers and managers working in these companies. The results were processed with a sample of 456 units. SmartPLS program was used for analysis.

As a result of the analyzes, it is supported by hypotheses that AI readiness and organizational flexibility have positive effects on lean sustainability and value creation.

When evaluated in terms of the limitations of the research, it would not be correct to evaluate the results of the analysis in general, since the data were collected from technology-focused companies in technoparks in Istanbul.

Examining the variables that make up the research model in technology-oriented companies helps to understand the critical factors for the future success of companies. At the same time, this research is important for companies to make more informed decisions in their strategic planning, technological transformation processes and value creation strategies.

This research topic offers a unique approach in terms of bringing together topics such as AI readiness, organizational flexibility, sustainability and value creation. These issues play an important role in the strategic planning of technology-focused companies, and when considered together, they are important in terms of examining the critical factors that affect the future success of companies.

The research paper’s purpose is to contribute to the literature by analysing the essential resources and processes required for successful commercialisation, the contemporary challenges and opportunities of artificial intelligence initiatives in Türkiye, and the diverse models and methods employed by these initiatives.

Within the scope of the research, interviews were conducted with 10 entrepreneurs who established artificial intelligence-oriented enterprises in technoparks in Istanbul and Antalya. All 10 interviews were analysed using the MAXQDA20 software tool. Structured qualitative content analysis was used for the data analysis procedure.

Based on the research, external factors have a significant impact on the future growth opportunities of the market. Expanding the client base, gaining international recognition, and securing financing are crucial for success. However, the findings reveal challenges in the relatively young local ecosystem. One major criticism is the lack of support in marketing and sales activities for refined products. To address this, providing financial incentives and knowledge transfer to those in need is vital.

Since the research was conducted only with entrepreneurs who established and successfully commercialised artificial intelligence-oriented enterprises, it is recommended that future studies be performed with a widespread sample group, considering this limited situation. Furthermore, to overcome survivorship bias, it is recommended that posterior studies include failed commercialisation attempts in AI ventures.

It can be argued that there is no deliberate approach or model for commercialization. Entrepreneurs often draw from their own prior experiences or observe industry trends. Given the limited financial resources available in the domestic market and the challenge of attracting foreign investors to Turkish brands, entrepreneurs tend to rely on internal approaches for commercialisation.

This research delves into the commercialisation prospects and obstacles encountered by AI start-ups in Türkiye. It comprises qualitative insights into business models, commercialisation approaches, opportunities, and challenges. The data were obtained from interviews with entrepreneurs operating in the industry.

The main purpose of examining innovation development (ID), technology management (TM) and big data analytics capability (BDAC) from the perspective of information technology companies is to help these companies optimize their business strategies and increase their competitiveness. When these concepts are considered together, it is aimed to present suggestions that information technology companies can increase their innovation capacities, optimize their technology portfolios and develop their big data analytics capacities.

Data were collected from information technology companies working on big data analytics in technoparks in Istanbul. In the research, the Marmara region of Turkey was preferred because it is the region where the information technology sector is most common. In total, 503 questionnaires were collected. SmartPLS (4.0.8.4) licensed software was used in the research, and the results are presented with tables and figures.

As a result of the analysis of the data, it is supported by hypotheses that ID and TM have positive effects as independent variables and BDAC has positive effects as both independent and mediation variables.

In terms of the limitations of the research, since the data were collected only from the information technology companies in the technoparks in Istanbul, it would not be correct to generalize the analysis results. For this reason, it is recommended to develop a research model and contribute to the literature by considering this limited situation for similar studies to be conducted in the future.

By focusing on ID, it is important for companies to analyze their innovation processes and increase their ID capacity. On the subject of TM, analyses help companies identify their current technological infrastructure and development needs and optimize their technology portfolios. Big data analytics is an important tool that companies can use in their decision-making processes. Therefore, analyses of big data analytics can evaluate companies' current data analytics capacities and offer improvement suggestions.

So why are ID, TM and BDAC important? Why should a research model be developed to examine the effects of these variables? This situation can be understood by looking at the investments made by two world-class companies with headquarters in Istanbul/Turkey. L'Oréal Turkey integrates big data, cloud computing, artificial intelligence and digital platforms into its business processes by investing in new technologies and also makes a difference with innovation in environmental sustainability and social responsibility. PepsiCo, on the other hand, placed a great emphasis on innovation by opening its third Design and Innovation Center in Turkey and Europe in Istanbul. For this reason, examining the effects of ID, TM and big data analytics together in the research is important for the originality of the research. Examining these variables by focusing on their interactions and effects increases the originality of the subject.